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Computational Neuroscience

  • Book
  • © 2023

Overview

Editors:
  1. Drozdstoy Stoyanov

    1. Division of Translational Neuroscience, Medical University of Plovdiv, Plovdiv, Bulgaria

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  2. Bogdan Draganski

    1. University of Lausanne, CHUV, Lausanne, Switzerland

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  3. Paolo Brambilla

    1. Pathophysiology and Transplantation, University of Milan, Milan, Italy

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    You can also search for this editor in PubMed   Google Scholar

  4. Claus Lamm

    1. Cognitive & Affective Neuroscience Unit, University of Vienna, Vienna, Austria

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    You can also search for this editor in PubMed   Google Scholar

  • Includes cutting-edge methods and protocols
  • Provides step-by-step detail essential for reproducible results
  • Contains key notes and implementation advice from the experts

Part of the book series: Neuromethods (NM, volume 199)

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About this book

This volume looks at the latest advancements in imaging neuroscience methods using magnetic resonance imaging (MRI) and electroencephalography (EEG) to study the healthy and diseased brain. The chapters in this book are organized into five parts. Parts One and Two cover an introduction to this field and the latest use of molecular models. Part Three explores neurophysiological methods for assessment, such as quantitative EEG and event-related potentials. Part Four discusses the advances and innovations made in computational anatomy, and Part Five addresses the challenges faced by researchers prior to the computational neuroscience to find wider translational applications in the field of psychiatry and mental health. In the Neuromethods series style, chapters include the kind of detail and key advice from the specialists needed to get successful results in your laboratory. 


Cutting-edge and comprehensive, Computational Neuroscience is a valuable tool for researchers in the psychiatry and mental health fields who want to learn more about ways to incorporate computational approaches into utility and validity of clinical methods.



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Table of contents (16 protocols)

  1. Front Matter

    Pages i-xiv
    Download chapter PDF

  2. Introduction

    1. Front Matter

      Pages 1-1
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    2. Toward Methodology for Strategic Innovations in Translational and Computational Neuroscience in Psychiatry

      • Drozdstoy Stoyanov, Sevdalina Kandilarova, Ferath Kherif
      Pages 3-12

  3. Molecular Methods

    1. Front Matter

      Pages 13-13
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    2. Molecular Methods in Neuroscience and Psychiatry

      • Mariya Ivanovska, Teodora Kalfova, Steliyan Petrov, Martina Bozhkova, Alexandra Baldzhieva, Hristo Taskov et al.
      Pages 15-30

    3. Toward the Use of Research and Diagnostic Algorithmic Rules to Assess the Recurrence of Illness and Major Dysmood Disorder Features: The Diagnosis “Bipolar Disorder” Is Useless

      • Michael Maes
      Pages 31-52

  4. Neurophysiological Methods

    1. Front Matter

      Pages 53-53
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    2. The Concept of Event-Related Oscillations: A Spotlight on Extended Applications

      • Vasil Kolev, Roumen Kirov, Juliana Yordanova
      Pages 55-83

    3. Quantitative EEG Analysis: Introduction and Basic Principles

      • Georgi Panov
      Pages 85-91

    4. QEEG and ERP Biomarkers of Psychotic and Mood Disorders and Their Treatment Response

      • Sevdalina Kandilarova, Igor Riečanský
      Pages 93-106

    5. Quantitative EEG in Patients with Schizophrenia

      • Georgi Panov
      Pages 107-115

  5. Neuroimaging Methods

    1. Front Matter

      Pages 117-117
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    2. Computational Anatomy Going Beyond Brain Morphometry

      • Bogdan Draganski, Rositsa Paunova, Adeliya Latypova, Ferath Kherif
      Pages 119-132

    3. Nonlinear Methods for the Investigation of Psychotic Disorders

      • Alexandra Korda, Marina Frisman, Christina Andreou, Stefan Borgwardt
      Pages 133-144

    4. Carving Out the Path to Computational Biomarkers for Mental Disorders

      • Ronald Sladky, Anna Todeva-Radneva, Claus Lamm
      Pages 145-165

    5. Neuroimaging Methods Investigating Anterior Insula Alterations in Schizophrenia and Mood Disorders

      • Sevdalina Kandilarova, Dora Zlatareva
      Pages 167-178

    6. Magnetic Resonance Spectroscopy

      • Letizia Squarcina, Paolo Brambilla
      Pages 179-193

    7. The Effect of Exogenous and Endogenous Parameters on Group Resting-State Effective Connectivity and BOLD Signal

      • Liucija Vaisvilaite, Meng-Yun Wang, Micael Andersson, Karsten Specht
      Pages 195-209

    8. Utility of Computational Approaches for Precision Psychiatry: Applications to Substance Use Disorders

      • Jasmin Vassileva, Jeung-Hyun Lee, Elena Psederska, Woo-Young Ahn
      Pages 211-231

  6. Integrative Computational Neuroscience

    1. Front Matter

      Pages 233-233
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Editors and Affiliations

  • Division of Translational Neuroscience, Medical University of Plovdiv, Plovdiv, Bulgaria

    Drozdstoy Stoyanov

  • University of Lausanne, CHUV, Lausanne, Switzerland

    Bogdan Draganski

  • Pathophysiology and Transplantation, University of Milan, Milan, Italy

    Paolo Brambilla

  • Cognitive & Affective Neuroscience Unit, University of Vienna, Vienna, Austria

    Claus Lamm

Bibliographic Information

  • Book Title: Computational Neuroscience

  • Editors: Drozdstoy Stoyanov, Bogdan Draganski, Paolo Brambilla, Claus Lamm

  • Series Title: Neuromethods

  • DOI: https://doi.org/10.1007/978-1-0716-3230-7

  • Publisher: Humana New York, NY

  • eBook Packages: Springer Protocols

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature 2023

  • Hardcover ISBN: 978-1-0716-3229-1Published: 11 May 2023

  • Softcover ISBN: 978-1-0716-3232-1Due: 24 May 2024

  • eBook ISBN: 978-1-0716-3230-7Published: 10 May 2023

  • Series ISSN: 0893-2336

  • Series E-ISSN: 1940-6045

  • Edition Number: 1

  • Number of Pages: XIV, 274

  • Number of Illustrations: 1 b/w illustrations

  • Topics: Neurosciences, Neurosciences

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